Model fit

Column

Assumption checks

Column

Indices of model fit

Metric Value
AIC 49.68
AICc 50.53
BIC 54.07
R2 0.75
R2 (adj.) 0.74
RMSE 0.48
Sigma 0.49

For interpretation of performance metrics, please refer to this documentation.

Parameter estimates

Column

Plot

Column

Tabular summary

Parameter Coefficient SE 95% CI t(30) p
(Intercept) 6.05 0.31 (5.42, 6.68) 19.59 < .001
mpg -0.14 0.01 (-0.17, -0.11) -9.56 < .001

To find out more about table summary options, please refer to this documentation.

Predicted Values

Column

Plot

Column

Tabular summary

Text reports

Column

Textual summary

We fitted a linear model (estimated using OLS) to predict wt with mpg (formula: wt ~ mpg). The model explains a statistically significant and substantial proportion of variance (R2 = 0.75, F(1, 30) = 91.38, p < .001, adj. R2 = 0.74). The model’s intercept, corresponding to mpg = 0, is at 6.05 (95% CI (5.42, 6.68), t(30) = 19.59, p < .001). Within this model:

  • The effect of mpg is statistically significant and negative (beta = -0.14, 95% CI (-0.17, -0.11), t(30) = -9.56, p < .001; Std. beta = -0.87, 95% CI (-1.05, -0.68))

Standardized parameters were obtained by fitting the model on a standardized version of the dataset. 95% Confidence Intervals (CIs) and p-values were computed using a Wald t-distribution approximation. The model explains a statistically significant and substantial proportion of variance (R2 = 0.75, F(1, 30) = 91.38, p < .001, adj. R2 = 0.74)

Column

Model information

Error in (function (..., row.names = NULL, check.rows = FALSE, check.names = TRUE, : arguments imply differing number of rows: 1, 0
List of 48
 $ is_binomial     : logi FALSE
 $ is_bernoulli    : logi FALSE
 $ is_count        : logi FALSE
 $ is_poisson      : logi FALSE
 $ is_negbin       : logi FALSE
 $ is_beta         : logi FALSE
 $ is_betabinomial : logi FALSE
 $ is_orderedbeta  : logi FALSE
 $ is_dirichlet    : logi FALSE
 $ is_exponential  : logi FALSE
 $ is_logit        : logi FALSE
 $ is_probit       : logi FALSE
 $ is_censored     : logi FALSE
 $ is_truncated    : logi FALSE
 $ is_survival     : logi FALSE
 $ is_linear       : logi TRUE
 $ is_tweedie      : logi FALSE
 $ is_zeroinf      : logi FALSE
 $ is_zero_inflated: logi FALSE
 $ is_dispersion   : logi FALSE
 $ is_hurdle       : logi FALSE
 $ is_ordinal      : logi FALSE
 $ is_cumulative   : logi FALSE
 $ is_multinomial  : logi FALSE
 $ is_categorical  : logi FALSE
 $ is_mixed        : logi FALSE
 $ is_multivariate : logi FALSE
 $ is_trial        : logi FALSE
 $ is_bayesian     : logi FALSE
 $ is_gam          : logi FALSE
 $ is_anova        : logi FALSE
 $ is_timeseries   : logi FALSE
 $ is_ttest        : logi FALSE
 $ is_correlation  : logi FALSE
 $ is_onewaytest   : logi FALSE
 $ is_chi2test     : logi FALSE
 $ is_ranktest     : logi FALSE
 $ is_levenetest   : logi FALSE
 $ is_variancetest : logi FALSE
 $ is_xtab         : logi FALSE
 $ is_proptest     : logi FALSE
 $ is_binomtest    : logi FALSE
 $ is_ftest        : logi FALSE
 $ is_meta         : logi FALSE
 $ link_function   : chr "identity"
 $ family          : chr "gaussian"
 $ n_obs           : int 32
 $ n_grouplevels   : NULL
Error in DT::datatable(model_info_data): 'data' must be 2-dimensional (e.g. data frame or matrix)
---
title: "Regression model summary from `{easystats}`"
output: 
  flexdashboard::flex_dashboard:
    theme:
      version: 4
      # bg: "#101010"
      # fg: "#FDF7F7" 
      primary: "#0054AD"
      base_font:
        google: Prompt
      code_font:
        google: JetBrains Mono
params:
  model: model
  check_model_args: check_model_args
  parameters_args: parameters_args
  performance_args: performance_args
---

```{r setup, include=FALSE}
library(flexdashboard)
library(easystats)

# Since not all regression model are supported across all packages, make the
# dashboard chunks more fault-tolerant. E.g. a model might be supported in
# `{parameters}`, but not in `{report}`.
#
# For this reason, `error = TRUE`
knitr::opts_chunk$set(
  error = TRUE,
  out.width = "100%"
)

# helper function for printing `{report}` outputs
bracket_to_parantheses <- function(text) {
  gsub("]", ")", gsub("[", "(", text, fixed = TRUE), fixed = TRUE)
}
```

```{r easydashboard-1}
# Get user-specified model data
model <- params$model

# Is it supported by `{easystats}`? Skip evaluation of the following chunks if not.
is_supported <- insight::is_model_supported(model)

if (!is_supported) {
  unsupported_message <- sprintf(
    "Unfortunately, objects of class `%s` are not yet supported in {easystats}.\n
    For a list of supported models, see `insight::supported_models()`.",
    class(model)[1]
  )
}
```


Model fit 
=====================================  

Column {data-width=700}
-----------------------------------------------------------------------

### Assumption checks

```{r check-model, eval=is_supported, fig.height=10, fig.width=10}
check_model_args <- c(list(model), params$check_model_args)
# add verbose, if not done yet
if (is.null(check_model_args$verbose)) check_model_args$verbose <- FALSE
tryCatch(
  {
    do.call(performance::check_model, check_model_args)
  },
  error = function(e) {
    cat(insight::format_message(
      "\nSomething did not work as expected. Please file an issue at {.url https://github.com/easystats/easystats/issues/} and post the following output:",
      paste0("\n`", e$message, "`")
    ))
  }
)
```

```{r easydashboard-2, eval=!is_supported}
cat(unsupported_message)
```

Column {data-width=300}
-----------------------------------------------------------------------

### Indices of model fit

```{r easydashboard-3, eval=is_supported}
# {performance}
performance_args <- c(list(model), params$performance_args)
# add verbose, if not done yet
if (is.null(performance_args$verbose)) performance_args$verbose <- FALSE
table_performance <- do.call(performance::performance, performance_args)
print_md(table_performance, layout = "vertical", caption = NULL)
```


```{r easydashboard-4, eval=!is_supported}
cat(unsupported_message)
```

For interpretation of performance metrics, please refer to <a href="https://easystats.github.io/performance/reference/model_performance.html" target="_blank">this documentation</a>.

Parameter estimates
=====================================  

Column {data-width=550}
-----------------------------------------------------------------------

### Plot

```{r dot-whisker, eval=is_supported}
# `{parameters}`
parameters_args <- c(list(model), params$parameters_args)
# add verbose, if not done yet
if (is.null(parameters_args$verbose)) parameters_args$verbose <- FALSE
table_parameters <- do.call(parameters::parameters, parameters_args)

plot(table_parameters)
```


```{r easydashboard-5, eval=!is_supported}
cat(unsupported_message)
```

Column {data-width=450}
-----------------------------------------------------------------------

### Tabular summary

```{r easydashboard-6, eval=is_supported}
print_md(table_parameters, caption = NULL)
```


```{r easydashboard-7, eval=!is_supported}
cat(unsupported_message)
```

To find out more about table summary options, please refer to <a href="https://easystats.github.io/parameters/reference/model_parameters.html" target="_blank">this documentation</a>.


Predicted Values
=====================================  

Column {data-width=600}
-----------------------------------------------------------------------

### Plot

```{r expected-values, eval=is_supported, fig.height=10, fig.width=10}
# {modelbased}
int_terms <- find_interactions(model, component = "conditional", flatten = TRUE)
con_terms <- find_variables(model)$conditional

if (is.null(int_terms)) {
  model_terms <- con_terms
} else {
  model_terms <- clean_names(int_terms)
  int_terms <- unique(unlist(strsplit(clean_names(int_terms), ":", fixed = TRUE)))
  model_terms <- c(model_terms, setdiff(con_terms, int_terms))
}

# check some exceptions here: logistic regression models with factor response
# usually require the response to be included in the model, else `get_modelmatrix()`
# fails, which is required to compute SE/CI for `get_predicted()`
response <- find_response(model)
minfo <- model_info(model)
model_data <- get_data(model)
include_response <- minfo$is_binomial && minfo$is_logit && is.factor(model_data[[response]])

text_modelbased <- tryCatch(
  {
    lapply(unique(model_terms), function(i) {
      grid <- get_datagrid(
        model,
        at = i,
        range = "grid",
        preserve_range = FALSE,
        verbose = FALSE,
        include_response = include_response
      )
      estimate_expectation(model, data = grid, verbose = FALSE)
    })
  },
  error = function(e) {
    cat(insight::format_message(
      "\nSomething did not work as expected. Please file an issue at {.url https://github.com/easystats/easystats/issues/} and post the following output:",
      paste0("\n`", e$message, "`")
    ))
    NULL
  }
)

if (!is.null(text_modelbased)) {
  ggplot2::theme_set(theme_modern())
  # all_plots <- lapply(text_modelbased, function(i) {
  #   out <- do.call(visualisation_recipe, c(list(i), modelbased_args))
  #   plot(out) + ggplot2::ggtitle("")
  # })
  all_plots <- lapply(text_modelbased, function(i) {
    out <- visualisation_recipe(i, show_data = "none")
    plot(out) + ggplot2::ggtitle("")
  })

  see::plots(all_plots, n_columns = round(sqrt(length(text_modelbased))))
}
```


```{r easydashboard-8, eval=!is_supported}
cat(unsupported_message)
```

Column {data-width=400}
-----------------------------------------------------------------------

### Tabular summary

```{r easydashboard-9, eval=is_supported, results="asis"}
if (!is.null(text_modelbased)) {
  for (i in text_modelbased) {
    tmp <- print_md(i)
    tmp <- gsub("Variable predicted", "\nVariable predicted", tmp, fixed = TRUE)
    tmp <- gsub("Predictors modulated", "\nPredictors modulated", tmp, fixed = TRUE)
    tmp <- gsub("Predictors controlled", "\nPredictors controlled", tmp, fixed = TRUE)
    print(tmp)
  }
}
```


```{r easydashboard-10, eval=!is_supported}
cat(unsupported_message)
```


Text reports
=====================================    

Column {data-width=500}
-----------------------------------------------------------------------

### Textual summary

```{r easydashboard-11, eval=is_supported, results='asis', collapse=TRUE}
# {report}
text_report <- tryCatch(
  {
    report(model, verbose = FALSE)
  },
  error = function(e) {
    cat(insight::format_message(
      "\nSomething did not work as expected. Please file an issue at {.url https://github.com/easystats/easystats/issues/} and post the following output:",
      paste0("\n`", e$message, "`")
    ))
    NULL
  }
)


text_report_performance <- tryCatch(
  {
    report_performance(model, verbose = FALSE)
  },
  error = function(e) {
    cat(insight::format_message(
      "\nSomething did not work as expected. Please file an issue at {.url https://github.com/easystats/easystats/issues/} and post the following output:",
      paste0("\n`", e$message, "`")
    ))
    NULL
  }
)

if (!is.null(text_report)) {
  cat(bracket_to_parantheses(text_report))
  cat("\n")
}

if (!is.null(text_report_performance)) {
  cat(bracket_to_parantheses(text_report_performance))
}
```


```{r easydashboard-12, eval=!is_supported}
cat(unsupported_message)
```

Column {data-width=500}
-----------------------------------------------------------------------

### Model information

```{r easydashboard-13, eval=is_supported}
model_info_data <- insight::model_info(model, verbose = FALSE)
model_info_data <- datawizard::data_to_long(as.data.frame(model_info_data))

DT::datatable(model_info_data)
```

```{r easydashboard-14, eval=!is_supported}
cat(unsupported_message)
```